Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities

19 August 2020

Papers citing "Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities"

6 / 6 papers shown

Title
Harnessing physics-informed operators for high-dimensional reliability analysis problems N Navaneeth Tushar Souvik Chakraborty AI4CE 38 0 0 07 Sep 2024
Poisoning Attacks and Defenses on Artificial Intelligence: A Survey M. A. Ramírez Song-Kyoo Kim H. A. Hamadi Ernesto Damiani Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 25 37 0 21 Feb 2022
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 25 0 0 29 Nov 2021
Remaining useful life prediction with uncertainty quantification: development of a highly accurate model for rotating machinery Zhaoyi Xu Yanjie Guo J. Saleh 19 1 0 23 Sep 2021
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach Zhaoyi Xu Yanjie Guo J. Saleh 19 25 0 23 Sep 2021
Probabilistic Performance-Pattern Decomposition (PPPD): analysis framework and applications to stochastic mechanical systems Ziqi Wang M. Broccardo Junho Song 35 1 0 04 Mar 2020